After obtaining a set of instance clusters, the next step is to replace the instances in each cluster with a single one.
Even though it would be a straightforward way to use the density modes, as in [1]}, it requires doing operations with the preference vectors, averaging. However, such operations are undefined in the consensus space – the average of two vectors is not necessarily the preference vector of the average instance.
Thus, we replace each cluster with one of its elements that has the highest quality \(Q_f\)  and, thus, is the most likely to represent the sought model parameters.
